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References from Ten simple rules for working with high resolution remote sensing data. Local targets link to admitted publications; unresolved targets remain external evidence.
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows
10.3390/rs10071091 · 2018 · External reference
Development of gridded surface meteorological data for ecological applications and modelling
10.1002/joc.3413 · 2011 · External reference
High-resolution mapping of spatial heterogeneity in ice wedge polygon geomorphology near Prudhoe Bay, Alaska
10.1038/s41597-020-0423-9 · 2020 · External reference
A Risk-Based Approach to Assessing the Fitness for Use of Spatial Data
1999 · External reference
How To Choose a Good Scientific Problem
10.1016/j.molcel.2009.09.013 · 2009 · External reference
Lightweight unmanned aerial vehicles will revolutionize spatial ecology
10.1890/120150 · 2013 · External reference
Targeted carbon conservation at national scales with high-resolution monitoring
10.1073/pnas.1419550111 · 2014 · External reference
Warming weakens the night-time barrier to global fire
10.1038/s41586-021-04325-1 · 2022 · External reference
Ethical Considerations When Using Geospatial Technologies for Evidence Generation
2018 · External reference
When are hypotheses useful in ecology and evolution?
10.1002/ece3.7365 · 2021 · External reference
New light on an ancient landscape: lidar survey in the Stonehenge World Heritage Site
10.1017/s0003598x00114577 · 2015 · External reference
Building Software, Building Community: Lessons from the rOpenSci Project
10.5334/jors.bu · 2015 · External reference
Scholars Before Researchers: On the Centrality of the Dissertation Literature Review in Research Preparation
10.3102/0013189x034006003 · 2005 · External reference
Assessing fitness for use: the expected value of spatial data sets
10.1080/13658810110053116 · 2010 · External reference
The Harmonized Landsat and Sentinel-2 surface reflectance data set
10.1016/j.rse.2018.09.002 · 2018 · External reference
The aerial panopticon and the ethics of archaeological remote sensing in sacred cultural spaces
10.1002/arp.1819 · 2021 · External reference
Spatial autocorrelation and the scaling of species–environment relationships
10.1890/09-1359.1 · 2010 · External reference
Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data
10.1080/13658810600911879 · 2007 · External reference
The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
10.1016/j.srs.2020.100002 · 2020 · External reference
Shuttle radar topography mission produces a wealth of data
10.1029/eo081i048p00583 · 2000 · External reference
Ethical considerations for remote sensing and open data in relation to the endangered archaeology in the Middle East and North Africa project
10.1002/arp.1816 · 2021 · External reference
Using super-high resolution satellite imagery to census threatened albatrosses
10.1111/ibi.12482 · 2017 · External reference
What, Exactly, Is Open Science?
2009 · External reference
Truth, Proof, and Reproducibility: There’s No Counter-Attack for the Codeless
10.1007/978-981-15-1960-4_8 · 2020 · External reference
FAIR Data Maturity Model: Specification and Guidelines
10.15497/rda00050 · 2020 · External reference
Unresolved reference
2013 · External reference
Why large-scale climate indices seem to predict ecological processes better than local weather
10.1038/nature02708 · 2004 · External reference
The Tao of open science for ecology
10.1890/es14-00402.1 · 2015 · External reference
Skills and Knowledge for Data-Intensive Environmental Research
10.1093/biosci/bix025 · 2017 · External reference
Reflections on the value of ethics in relation to Earth observation
10.1080/01431161.2012.718466 · 2012 · External reference
A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data
10.1016/j.rse.2018.02.067 · 2018 · External reference
Ethical Challenges Posed by Big Data
2020 · External reference
Location-based data raise ethical issues for cultural heritage
10.1126/science.364.6447.1244 · 2019 · External reference
xarray: N-D labeled Arrays and Datasets in Python
10.5334/jors.148 · 2017 · External reference
Step by step: Sub-goals as a source of motivation
10.1016/j.obhdp.2017.05.001 · 2017 · External reference
LiDAR-Assisted Identification of an Active Fault near Truckee, California
10.1785/0120090261 · 2011 · External reference
High‐resolution airborne Light Detection and Ranging data, ethics and archaeology: Considerations from the northeastern United States
10.1002/arp.1836 · 2021 · External reference
Earthlab/Neonhs: V0.0.1.
10.5281/zenodo.4641288 · 2021 · External reference
NEON: the first continental-scale ecological observatory with airborne remote sensing of vegetation canopy biochemistry and structure
10.1117/1.3361375 · 2010 · External reference
Unresolved reference
2014 · External reference
Cross-scale interaction of host tree size and climatic water deficit governs bark beetle-induced tree mortality
10.1038/s41467-020-20455-y · 2021 · External reference
Validation of DigitalGlobe WorldView-3 Earth imaging satellite shortwave infrared bands for mineral mapping
10.1117/1.jrs.9.096044 · 2015 · External reference
New elevation data triple estimates of global vulnerability to sea-level rise and coastal flooding
10.1038/s41467-019-12808-z · 2019 · External reference
Lidar Remote Sensing for Ecosystem Studies
10.1641/0006-3568(2002)052[0019:lrsfes]2.0.co;2 · 2002 · External reference
New Global Hydrography Derived From Spaceborne Elevation Data
10.1029/2008eo100001 · 2008 · External reference
Regional insight into savanna hydrogeomorphology from termite mounds
10.1038/ncomms1066 · 2010 · External reference
Construction and Accuracy Test of a 3D Model of Non-Metric Camera Images Using Agisoft PhotoScan
10.1016/j.proenv.2016.09.031 · 2016 · External reference
Mapping fears: the use of commercial high-resolution satellite imagery in international affairs
10.1080/14777620312331269909 · 2010 · External reference
Our path to better science in less time using open data science tools
10.1038/s41559-017-0160 · 2017 · External reference
Microclimates buffer the responses of plant communities to climate change
10.1111/geb.12359 · 2015 · External reference
Landsat 9: Empowering open science and applications through continuity
10.1016/j.rse.2020.111968 · 2020 · External reference
Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery
10.1109/igarss.2019.8900453 · 2019 · External reference
The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones
10.1177/0956247807076960 · 2007 · External reference
Assessing the fitness-for-purpose of satellite multi-mission ocean color climate data records: A protocol applied to OC-CCI chlorophyll- a data
10.1016/j.rse.2017.03.039 · 2017 · External reference
Patchy field sampling biases understanding of climate change impacts across the Arctic
10.1038/s41559-018-0612-5 · 2018 · External reference
Structure from Motion (SfM) Photogrammetry with Drone Data: A Low Cost Method for Monitoring Greenhouse Gas Emissions from Forests in Developing Countries
10.3390/f8030068 · 2017 · External reference
A manifesto for reproducible science
10.1038/s41562-016-0021 · 2017 · External reference
A framework for predicting and visualizing the East African wildebeest migration-route patterns in variable climatic conditions using geographic information system and remote sensing
10.1007/s11284-006-0175-9 · 2006 · External reference
NASA Shuttle Radar Topography Mission Water Body Data Shapefiles & Raster Files
2013 · External reference
Promoting an open research culture
10.1126/science.aab2374 · 2015 · External reference
Research Debt
10.23915/distill.00005 · 2017 · External reference
The Open Source Definition
2007 · External reference
Spatial validation reveals poor predictive performance of large-scale ecological mapping models
10.1038/s41467-020-18321-y · 2020 · External reference
You Only Look Once: Unified, Real-Time Object Detection
2016 · External reference
Dask: Parallel Computation with Blocked Algorithms and Task Scheduling
10.25080/majora-7b98e3ed-013 · 2015 · External reference
Limitations to recovery following wildfire in dry forests of southern Colorado and northern New Mexico, USA
10.1002/eap.2001 · 2019 · External reference
Landsat-8: Science and product vision for terrestrial global change research
10.1016/j.rse.2014.02.001 · 2014 · External reference
Towards a taxonomy of spatial scale-dependence
10.1111/ecog.01034 · 2014 · External reference
GOES Wildfire ABBA Applications in the Western Hemisphere
2003 · External reference
Data Fusion and Remote Sensing: An ever-growing relationship
10.1109/mgrs.2016.2561021 · 2016 · External reference
Fostering advances in interdisciplinary climate science
10.1073/pnas.1301104110 · 2013 · External reference
Mapping Height and Biomass of Mangrove Forests in Everglades National Park with SRTM Elevation Data
10.14358/pers.72.3.299 · 2006 · External reference
Emerging Legal and Ethical Issues in Advanced Remote Sensing Technology
1998 · External reference
Predicting Playa Inundation Using a Long Short‐Term Memory Neural Network
10.1029/2020wr029009 · 2021 · External reference
Estimating volume change of mountain glaciers using SRTM and map-based topographic data
10.1109/tgrs.2006.875357 · 2006 · External reference
Examining Data Quality
10.1145/269012.269021 · 1998 · External reference
The 3D Elevation Program and energy for the Nation
10.3133/fs20193051 · 2020 · External reference
yOpenSci: Open and Reproducible Research, Powered by Python
2021 · External reference
Big Archaeology: Horizons and Blindspots
10.1080/00934690.2020.1714307 · 2020 · External reference
How to Build a 2D and 3D Aerial Multispectral Map?—All Steps Deeply Explained
10.3390/rs13163227 · 2021 · External reference
Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds
10.3390/f7030062 · 2016 · External reference
Flood Extent Mapping During Hurricane Florence With Repeat‐Pass L‐Band UAVSAR Images
10.1029/2021wr030606 · 2022 · External reference
“A Success Story that Can Be Sold”?: A Case Study of Humanitarian Use of Drones
10.1109/istas48451.2019.8938015 · 2019 · External reference
Cross-site learning in deep learning RGB tree crown detection
10.1016/j.ecoinf.2020.101061 · 2020 · External reference
The Importance of Publishing Negative Results
10.1093/jisesa/iew092 · 2016 · External reference
‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications
10.1016/j.geomorph.2012.08.021 · 2012 · External reference
The FAIR Guiding Principles for scientific data management and stewardship
10.1038/sdata.2016.18 · 2016 · External reference
Software Carpentry: lessons learned
10.12688/f1000research.3-62.v2 · 2016 · External reference
Wind-driven dispersal of volcanic ash plumes and its control on the thermal structure of the plume-top
10.1007/bf00301288 · 1995 · External reference
Autonomous drone hunter operating by deep learning and all-onboard computations in GPS-denied environments
10.1371/journal.pone.0225092 · 2019 · External reference
A survival guide to Landsat preprocessing
10.1002/ecy.1730 · 2017 · External reference
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
10.3390/rs8060501 · 2016 · External reference
Addressing data integration challenges to link ecological processes across scales
10.1002/fee.2290 · 2021 · External reference
Addressing data integration challenges to link ecological processes across scales
10.1002/fee.2290 · 2021 · External reference
